# Overview

🤗 Optimum provides an integration with Torch FX, a library for PyTorch that allows developers to implement custom transformations of their models that can be optimized for performance.

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    <a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="./usage_guides/optimization"
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      <p class="text-gray-700">Practical guides to help you achieve a specific goal. Take a look at these guides to learn how to use 🤗 Optimum to solve real-world problems.</p>
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    <a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="./concept_guides/symbolic_tracer"
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      <p class="text-gray-700">High-level explanations for building a better understanding about important topics such as quantization and graph optimization.</p>
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    <a class="!no-underline border dark:border-gray-700 p-5 rounded-lg shadow hover:shadow-lg" href="./package_reference/optimization"
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      <p class="text-gray-700">Technical descriptions of how the Torch FX classes and methods of 🤗 Optimum work.</p>
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